Riley-Coyote/mnemos-mcp
Continuity for the agent itself. An MCP server that gives an AI agent a memory of its own, written in its own words and kept on your machine, so it wakes as itself every session.
⚡ Executive Summary & Quick Facts
Authoritative Sourcemnemos-mcp is mnemos-mcp is an open-source project written in Python: Continuity for the agent itself. An MCP server that gives an AI agent a memory of its own, written in its own words and kept on your machine, so it wakes as itself every session..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), Riley-Coyote/mnemos-mcp has accumulated 143 GitHub stars and 19 forks. It is written in Python, licensed under Apache-2.0, and ranks #20,988 globally. It is actively maintained with the latest commit recorded on Nov 8, 2026.”
| Repository | Riley-Coyote/mnemos-mcp ↗ |
|---|---|
| Primary Category | agent memory |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 143 stars · ⑂ 19 forks · #20,988 globally |
| Maintenance | ● Active (Last commit: Nov 8, 2026) · 7 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 93/100 · Grade A+Yes, mnemos-mcp is actively maintained. Continuous telemetry recorded the last code commit on Nov 8, 2026 (1 days ago). Supported by 143 stars and 19 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#2,759
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
mnemos-mcp gained 10 stars in the last 30 days, about 1 a day, and now has 143. It is about 1 year old and has averaged roughly 143 stars a year. It ranks #2,759 among Python repositories and #20,988 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#20350
BEST RANK
Nov 8, 2026
FIRST APPEARANCE
Active
STATUS TODAY
mnemos-mcp has maintained a continuous presence across global trending indexes, peaking at #20350. Below is the 30-day activity profile:
💡 Overview
mnemos-mcp is an open-source project written in Python: Continuity for the agent itself. An MCP server that gives an AI agent a memory of its own, written in its own words and kept on your machine, so it wakes as itself every session.
Engineered for speed, consistency, and developer ease, it solves common hurdles in agent-memory, ai-agents, claude-code. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install mnemos-mcp⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
mnemos-mcp coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with mnemos-mcp.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install mnemos-mcp using your package manager: `pip install mnemos-mcp`
Initialize your project workspace or configuration file for mnemos-mcp.
Import mnemos-mcp into your codebase or invoke it directly from your terminal.
Execute your test suite or run `mnemos-mcp --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
Riley-Coyote/mnemos-mcp is currently ranked #20,988 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #20,914 | Jakeschincariol/master-skills | Python | ★ 144 | Compare ↗ |
| #20,914 | Coding-Doctor-Omar/reddrix | Python | ★ 144 | Compare ↗ |
| #20,914 | anomalyco/isocast | Rust | ★ 144 | Compare ↗ |
| #20,914 | ZiyuanDu/deepinfer-unpacked | Python | ★ 144 | Compare ↗ |
| #20,914 | Juneo-Lab/decision-forge | Python | ★ 144 | Compare ↗ |
| #20,988 | Riley-Coyote/mnemos-mcp This Project | Python | ★ 143 | |
| #20,988 | ianwhite/nested_has_many_through | Ruby | ★ 143 | Compare ↗ |
| #20,988 | copiousfreetime/stickler | Ruby | ★ 143 | Compare ↗ |
| #20,988 | mamuso/acts_as_unvlogable | Ruby | ★ 143 | Compare ↗ |
| #20,988 | smtpd/qpsmtpd | Perl | ★ 143 | Compare ↗ |
| #20,988 | tmtm/ruby-mysql | Ruby | ★ 143 | Compare ↗ |
Frequently Asked Questions
What does mnemos-mcp do? +
Continuity for the agent itself. An MCP server that gives an AI agent a memory of its own, written in its own words and kept on your machine, so it wakes as itself every session.
Is mnemos-mcp actively maintained in 2026? +
Yes, mnemos-mcp is actively maintained. The latest code push was recorded on Nov 8, 2026 (1 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 143 stars and 7 open issues.
What language is mnemos-mcp written in? +
The primary language is Python. Topics include: agent-memory, ai-agents, claude-code, codex, continuity.
How many stars does mnemos-mcp have? +
mnemos-mcp has 143 stars and 19 forks on GitHub.
How does mnemos-mcp rank among GitHub repositories? +
With 143 stars, Riley-Coyote/mnemos-mcp is ranked #20,988 globally across all repositories tracked on GitHubRepo and #2,759 among Python projects.
What license is mnemos-mcp distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
